Seminar · Computational Neuroscience
Hebbian Plasticity Supports Predictive Self-Supervised Learning of Disentangled Representations
Manu Halvagal · Friedrich Miescher Institute for Biomedical Research
Wed, May 4, 2022 · 15:30 UTC
Discriminating distinct objects and concepts from sensory stimuli is essential for survival. Our brains accomplish this feat by forming meaningful internal representations in deep sensory networks with plastic synaptic connections. Experience-dependent plasticity presumably exploits temporal contingencies between sensory inputs to build these internal representations. However, the precise mechanisms underlying plasticity remain elusive. We derive a local synaptic plasticity model inspired by self-supervised machine learning techniques that shares a deep conceptual connection to Bienenstock-Coo